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Integration of Safety in the Optimization of Transporting Hazardous Materials

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Abstract

The development of fully integrated supply chain networks has drawn much attention due to industrial integration and globalization. Inter-plant transportation of chemicals plays a central role in enabling efficient supply chains and eco-industrial parks. The transported materials often include hazardous material (HazMat) for which safety is a major concern. This paper presents a HazMat transportation model that considers both economic and safety objectives. The study uses historical incident data for HazMat from the U.S Department of Transportation (USDOT) to quantify the transportation risk, and the epsilon-constraint method is then applied to integrate risk into the optimization framework. A case study was conducted for methanol transportation using both highway and railroad. The results of this study illustrate a Pareto optimal curve that shows the trade-off between transportation cost and risk. By solving the optimization problem, the optimum transportation cost at each discretized risk value can be determined, and the two objectives can be correlated for further decision-making. The HazMat transportation model provides a flexible framework to integrate more factors into the traditional transportation or material allocation problem in the future.

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References

  • Abkowitz M, Cheng PDM (1988) Developing a risk/cost framework for routing truck movements of hazardous materials. Accid Anal Prev 20(1):39–51

    Article  Google Scholar 

  • Centers for Disease Control and Prevention (2017) Methanol. https://www.cdc.gov/niosh/ipcsneng/neng0057.html. Accessed September 2017

  • Chew IML, Tan R, Ng DKS, Foo DCY, Majozi T, Gouws J (2008) Synthesis of direct and indirect interplant water network. Ind Eng Chem Res 47(23):9485–9496

    Article  Google Scholar 

  • El-Halwagi MM (2017a) A shortcut approach to the multi-scale atomic targeting and design of C-H-O symbiosis networks. Process Integration and Optimization for Sustainability 1(1):3–13

    Article  Google Scholar 

  • El-Halwagi MM (2017b) Sustainable design through process integration: fundamentals and applications to industrial pollution prevention, resource conservation, and profitability enhancement. Elsevier, Second Edition

    Google Scholar 

  • Erkut E, Tjandra SA, and Verter V (2007) Hazardous materials transportation. Handbooks in operations research and management science, 14, 539–621

  • Federal Railroad Administration (2014) Office of safety analysis. http://safetydata.fra.dot.gov/OfficeofSafety/default.aspx. Accessed December 2014

  • Gebauer M, Jordan J (2002) Methanol market distribution infrastructure in the United States. Prepared for methanol institute. Washington, DC

    Google Scholar 

  • Harwood DW, Viner JG, Russell ER (1993) Procedure for developing truck accident and release rates for hazmat routing. J Transp Eng 119(2):189–199

    Article  Google Scholar 

  • Huang B, Fery P (2005) Aiding route decision for hazardous material transportation. Transp Res Board 2005

  • Jordan J, Associates (2013) Global methanol report. Argus Media, Issue:13–15

  • Kang Y, Batta R, Kwon C (2014) Value-at-risk model for hazardous material transportation. Ann Oper Res 222(1):361–387

    Article  MathSciNet  Google Scholar 

  • Kazantzi V, Kazantzis N, Gerogiannis VC (2011) Risk informed optimization of a hazardous material multi-periodic transportation model. J Loss Prev Process Ind 24(6):767–773

    Article  Google Scholar 

  • Meng Q, Lee DH, Cheu RL (2005) Multiobjective vehicle routing and scheduling problem with time window constraints in hazardous material transportation. J Transp Eng 131(9):699–707

    Article  Google Scholar 

  • National Highway Traffic Safety Administration. Traffic safety facts (2012) https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812032, accessed December 2014

  • PHMSA—HazMat Incident Report Search website (2017). http://phmsa.dot.gov/hazmat/library/data-stats/incidents. Accessed March 2017

  • Samuel C, Keren N, Shelley MC, Freeman SA (2009) Frequency analysis of hazardous material transportation incidents as a function of distance from origin to incident location. J Loss Prev Process Ind 22(6):783–790

    Article  Google Scholar 

  • Transportation Statistics Annual Report (2015) https://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/TSAR_2015_final_0.pdf. Accessed December 2014

  • Zhang J, Hodgson J, Erkut E (2000) Using GIS to assess the risks of hazardous materials transport in networks. Eur J Oper Res 121(2):316–329

    Article  Google Scholar 

Download references

Funding

This publication was made possible by NPRP grant no. 7-724-2-269 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made are solely the responsibility of the authors.

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Authors and Affiliations

  1. The Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843-3122, USA

    Chi Zhang, Chi Nguyen & Mahmoud M. El-Halwagi

  2. Department of Chemical Engineering, Qatar University, Doha, Qatar

    Fadwa Eljack

  3. Department of Chemical Engineering, Texas A&M University at Qatar, Doha, Qatar

    Patrick Linke

  4. Gas and Fuels Research Center, Texas A&M Engineering Experiment Station, College Station, TX, 77843, USA

    Mahmoud M. El-Halwagi

Authors
  1. Chi Zhang
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  2. Chi Nguyen
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  3. Fadwa Eljack
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  4. Patrick Linke
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  5. Mahmoud M. El-Halwagi
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Corresponding author

Correspondence to Mahmoud M. El-Halwagi.

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The authors declare that they have no conflict of interest.

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Zhang, C., Nguyen, C., Eljack, F. et al. Integration of Safety in the Optimization of Transporting Hazardous Materials. Process Integr Optim Sustain 2, 435–446 (2018). https://doi.org/10.1007/s41660-018-0063-0

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  • DOI: https://doi.org/10.1007/s41660-018-0063-0

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